⚡️ Speed up method CloudCostManagementApi.get_custom_costs_file by 23%

[codeflash-ai]

📄 23% (0.23x) speedup for CloudCostManagementApi.get_custom_costs_file in src/datadog_api_client/v2/api/cloud_cost_management_api.py

⏱️ Runtime : 299 microseconds → 243 microseconds (best of 123 runs)

📝 Explanation and details

The optimization applies two key performance improvements that eliminate unnecessary dictionary operations:

1. Fast-path optimization in Endpoint.call_with_http_info:

• When only one parameter is passed (common for simple GET requests), the code now avoids creating temporary dictionaries by directly extracting the single key-value pair
• This eliminates the overhead of list(kwargs.keys()) and multiple dictionary lookups for single-parameter endpoints
• The optimization specifically targets the hot path identified in profiling where dictionary operations consumed significant time

2. Direct parameter passing in get_custom_costs_file:

• Instead of creating a kwargs dictionary and then calling **kwargs, the method now directly passes file_id=file_id
• This eliminates the dictionary creation (kwargs: Dict[str, Any] = {}), key assignment (kwargs["file_id"] = file_id), and unpacking (**kwargs) operations
• The line profiler shows this single change reduced the method's execution time from 86% to nearly 0% of the total runtime

Why this leads to speedup:

• Dictionary creation and manipulation in Python involves hash table operations and memory allocation overhead
• For high-frequency API calls with single parameters, these operations become a bottleneck
• The optimizations are most effective for simple endpoints with single parameters (like get_custom_costs_file with just file_id)

Test case benefits:
The annotated tests show consistent 20-30% improvements across most scenarios, with the largest gains (42-53%) in cases involving single-parameter calls or repeated operations, which directly benefit from the reduced dictionary overhead.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 734 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	✅ 37 Passed
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from typing import List

# imports
import pytest
from src.datadog_api_client.v2.api.cloud_cost_management_api import \
    CloudCostManagementApi

# function to test (already defined above)
# CloudCostManagementApi.get_custom_costs_file(file_id: str) -> CustomCostsFileGetResponse

# For the purposes of unit testing, we need to define minimal stubs for the response and line item classes.
# In a real test suite, these would be imported from the actual package.
class CustomCostsFileLineItem:
    def __init__(self, item_id: str, cost: float):
        self.item_id = item_id
        self.cost = cost

    def __eq__(self, other):
        return isinstance(other, CustomCostsFileLineItem) and self.item_id == other.item_id and self.cost == other.cost

class CustomCostsFileGetResponse:
    def __init__(self, file_id: str, status: str, items: List[CustomCostsFileLineItem]):
        self.file_id = file_id
        self.status = status
        self.items = items

    def __eq__(self, other):
        return (
            isinstance(other, CustomCostsFileGetResponse) and
            self.file_id == other.file_id and
            self.status == other.status and
            self.items == other.items
        )

# We'll monkeypatch the _get_custom_costs_file_endpoint.call_with_http_info method to simulate API responses.
@pytest.fixture
def api():
    api = CloudCostManagementApi()
    return api

def patch_get_custom_costs_file(api, file_id_to_response):
    """Monkeypatches the endpoint to return a specific response for a given file_id."""
    def call_with_http_info(**kwargs):
        file_id = kwargs.get("file_id")
        if file_id not in file_id_to_response:
            raise ValueError("File not found")
        resp = file_id_to_response[file_id]
        if isinstance(resp, Exception):
            raise resp
        return resp
    api._get_custom_costs_file_endpoint.call_with_http_info = call_with_http_info

# ---------------------------
# 1. Basic Test Cases
# ---------------------------

def test_get_custom_costs_file_basic(api):
    """Test fetching a typical file with a couple of line items."""
    file_id = "file123"
    expected = CustomCostsFileGetResponse(
        file_id="file123",
        status="processed",
        items=[
            CustomCostsFileLineItem(item_id="item1", cost=12.34),
            CustomCostsFileLineItem(item_id="item2", cost=56.78),
        ]
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.49μs -> 1.93μs (28.8% faster)

def test_get_custom_costs_file_empty_items(api):
    """Test fetching a file that exists but has no line items."""
    file_id = "emptyfile"
    expected = CustomCostsFileGetResponse(
        file_id="emptyfile",
        status="processed",
        items=[]
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.57μs -> 2.04μs (26.2% faster)

def test_get_custom_costs_file_pending_status(api):
    """Test fetching a file with a 'pending' status."""
    file_id = "pendingfile"
    expected = CustomCostsFileGetResponse(
        file_id="pendingfile",
        status="pending",
        items=[
            CustomCostsFileLineItem(item_id="item1", cost=99.99)
        ]
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.62μs -> 2.11μs (23.9% faster)

# ---------------------------
# 2. Edge Test Cases
# ---------------------------

def test_get_custom_costs_file_nonexistent(api):
    """Test fetching a file that does not exist should raise ValueError."""
    file_id = "doesnotexist"
    patch_get_custom_costs_file(api, {})  # No files exist
    with pytest.raises(ValueError):
        api.get_custom_costs_file(file_id) # 3.10μs -> 2.63μs (18.1% faster)

def test_get_custom_costs_file_invalid_file_id_type(api):
    """Test passing a non-string file_id should raise TypeError."""
    file_id = 12345  # not a string
    # The API expects a string, so this should fail before hitting the endpoint
    with pytest.raises(TypeError):
        api.get_custom_costs_file(file_id) # 46.3μs -> 47.5μs (2.59% slower)

def test_get_custom_costs_file_special_characters(api):
    """Test fetching a file with special characters in the file_id."""
    file_id = "file!@#$%^&*()_+|"
    expected = CustomCostsFileGetResponse(
        file_id=file_id,
        status="processed",
        items=[CustomCostsFileLineItem(item_id="itemX", cost=1.23)]
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.34μs -> 1.87μs (25.0% faster)

def test_get_custom_costs_file_none_file_id(api):
    """Test passing None as file_id should raise TypeError."""
    with pytest.raises(TypeError):
        api.get_custom_costs_file(None) # 42.3μs -> 42.1μs (0.509% faster)

def test_get_custom_costs_file_empty_string_file_id(api):
    """Test passing an empty string as file_id should raise ValueError (file not found)."""
    file_id = ""
    patch_get_custom_costs_file(api, {})  # No files exist
    with pytest.raises(ValueError):
        api.get_custom_costs_file(file_id) # 3.23μs -> 2.73μs (18.6% faster)

def test_get_custom_costs_file_large_cost_values(api):
    """Test fetching a file with very large cost values."""
    file_id = "bigcosts"
    expected = CustomCostsFileGetResponse(
        file_id=file_id,
        status="processed",
        items=[
            CustomCostsFileLineItem(item_id="item1", cost=1e12),
            CustomCostsFileLineItem(item_id="item2", cost=-1e12),  # negative cost
        ]
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.52μs -> 2.10μs (20.3% faster)

def test_get_custom_costs_file_duplicate_items(api):
    """Test fetching a file with duplicate item_ids."""
    file_id = "dupes"
    expected = CustomCostsFileGetResponse(
        file_id=file_id,
        status="processed",
        items=[
            CustomCostsFileLineItem(item_id="item1", cost=10),
            CustomCostsFileLineItem(item_id="item1", cost=20)
        ]
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.73μs -> 1.92μs (42.3% faster)

# ---------------------------
# 3. Large Scale Test Cases
# ---------------------------

def test_get_custom_costs_file_many_items(api):
    """Test fetching a file with a large number of line items (1000)."""
    file_id = "largefile"
    items = [CustomCostsFileLineItem(item_id=f"item{i}", cost=float(i)) for i in range(1000)]
    expected = CustomCostsFileGetResponse(
        file_id=file_id,
        status="processed",
        items=items
    )
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.70μs -> 2.56μs (5.35% faster)

def test_get_custom_costs_file_many_files(api):
    """Test fetching from a pool of 100 files, each with a few line items."""
    file_id_to_response = {}
    for i in range(100):
        file_id = f"file{i}"
        items = [CustomCostsFileLineItem(item_id=f"item{j}", cost=j*1.5) for j in range(5)]
        file_id_to_response[file_id] = CustomCostsFileGetResponse(
            file_id=file_id,
            status="processed",
            items=items
        )
    patch_get_custom_costs_file(api, file_id_to_response)
    # Test a few random file_ids
    for test_idx in [0, 50, 99]:
        file_id = f"file{test_idx}"
        codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 4.78μs -> 4.34μs (10.0% faster)

def test_get_custom_costs_file_performance_many_calls(api):
    """Test repeated calls for different file_ids (simulate high load)."""
    file_id_to_response = {}
    for i in range(50):
        file_id = f"file{i}"
        items = [CustomCostsFileLineItem(item_id=f"item{j}", cost=j) for j in range(10)]
        file_id_to_response[file_id] = CustomCostsFileGetResponse(
            file_id=file_id,
            status="processed",
            items=items
        )
    patch_get_custom_costs_file(api, file_id_to_response)
    # Rapidly call for all file_ids
    for i in range(50):
        file_id = f"file{i}"
        codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 41.8μs -> 31.7μs (32.0% faster)

# ---------------------------
# Additional: Robustness/Mutation
# ---------------------------

def test_get_custom_costs_file_wrong_file_id_returns_correct_file(api):
    """Test that fetching with a wrong file_id does not return a valid file (mutation robustness)."""
    file_id_to_response = {
        "fileA": CustomCostsFileGetResponse("fileA", "processed", []),
        "fileB": CustomCostsFileGetResponse("fileB", "processed", [])
    }
    patch_get_custom_costs_file(api, file_id_to_response)
    with pytest.raises(ValueError):
        api.get_custom_costs_file("fileC") # 3.28μs -> 2.75μs (18.9% faster)

def test_get_custom_costs_file_mutation_wrong_status(api):
    """Test that status field is checked for exactness."""
    file_id = "fileZ"
    expected = CustomCostsFileGetResponse(file_id, "processed", [])
    patch_get_custom_costs_file(api, {file_id: expected})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.47μs -> 1.91μs (29.5% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest  # used for our unit tests
from src.datadog_api_client.v2.api.cloud_cost_management_api import \
    CloudCostManagementApi

# function to test (already defined above)
# CloudCostManagementApi.get_custom_costs_file(file_id: str) -> CustomCostsFileGetResponse

# We'll need to create minimal stubs/mocks for the models and endpoint machinery,
# since the real Datadog API client is not available in our test context.
# We'll monkeypatch the Endpoint machinery to simulate API responses.

# --- Minimal stubs for models ---

class CustomCostsFileLineItem:
    def __init__(self, cost, resource_id):
        self.cost = cost
        self.resource_id = resource_id

class CustomCostsFileGetResponse:
    def __init__(self, file_id, status, items):
        self.file_id = file_id
        self.status = status
        self.items = items  # list of CustomCostsFileLineItem

# --- Test helpers ---

class DummyEndpoint:
    def __init__(self, response_map):
        self.response_map = response_map
        self.called_with = []

    def call_with_http_info(self, **kwargs):
        self.called_with.append(kwargs)
        file_id = kwargs.get("file_id")
        if file_id in self.response_map:
            resp = self.response_map[file_id]
            if isinstance(resp, Exception):
                raise resp
            return resp
        raise ValueError("File not found")

class DummyCloudCostManagementApi(CloudCostManagementApi):
    def __init__(self, response_map):
        # Don't call super().__init__ to avoid real Endpoint machinery
        self._get_custom_costs_file_endpoint = DummyEndpoint(response_map)

# --- Basic Test Cases ---

def test_get_custom_costs_file_basic_success():
    """Test fetching a valid custom costs file returns correct response."""
    file_id = "file123"
    items = [
        CustomCostsFileLineItem(cost=100.0, resource_id="resA"),
        CustomCostsFileLineItem(cost=200.0, resource_id="resB"),
    ]
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi({file_id: resp})

    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.84μs -> 2.26μs (25.6% faster)

def test_get_custom_costs_file_empty_items():
    """Test fetching a file with no line items returns empty items list."""
    file_id = "emptyfile"
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=[])
    api = DummyCloudCostManagementApi({file_id: resp})

    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.62μs -> 2.16μs (21.1% faster)

def test_get_custom_costs_file_pending_status():
    """Test fetching a file with status 'pending' returns correct status."""
    file_id = "pendingfile"
    resp = CustomCostsFileGetResponse(file_id=file_id, status="pending", items=[])
    api = DummyCloudCostManagementApi({file_id: resp})

    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.81μs -> 2.19μs (28.0% faster)

# --- Edge Test Cases ---

def test_get_custom_costs_file_not_found():
    """Test fetching a file_id that does not exist raises ValueError."""
    api = DummyCloudCostManagementApi({})
    with pytest.raises(ValueError):
        api.get_custom_costs_file("nonexistent") # 3.63μs -> 3.02μs (20.5% faster)

def test_get_custom_costs_file_invalid_file_id_type():
    """Test passing a non-string file_id raises TypeError or ValueError."""
    # Our DummyEndpoint expects string keys, so passing an int should error
    api = DummyCloudCostManagementApi({})
    with pytest.raises(Exception):
        api.get_custom_costs_file(12345) # 3.81μs -> 2.98μs (28.1% faster)

def test_get_custom_costs_file_file_id_empty_string():
    """Test passing an empty string as file_id raises ValueError."""
    api = DummyCloudCostManagementApi({})
    with pytest.raises(ValueError):
        api.get_custom_costs_file("") # 3.48μs -> 2.73μs (27.6% faster)

def test_get_custom_costs_file_special_characters():
    """Test file_id with special characters is handled correctly."""
    file_id = "file!@#$%^&*()_+-=[]{};':,<>/?"
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=[])
    api = DummyCloudCostManagementApi({file_id: resp})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.68μs -> 2.12μs (26.8% faster)

def test_get_custom_costs_file_large_cost_values():
    """Test file with extremely large cost values."""
    file_id = "largecost"
    items = [CustomCostsFileLineItem(cost=1e100, resource_id="resX")]
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi({file_id: resp})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.76μs -> 2.19μs (25.7% faster)

def test_get_custom_costs_file_negative_cost():
    """Test file with negative cost value is returned as is."""
    file_id = "negcost"
    items = [CustomCostsFileLineItem(cost=-123.45, resource_id="resY")]
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi({file_id: resp})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.80μs -> 2.17μs (29.0% faster)

def test_get_custom_costs_file_duplicate_resource_ids():
    """Test file with duplicate resource_ids in line items."""
    file_id = "dupres"
    items = [
        CustomCostsFileLineItem(cost=10, resource_id="dup"),
        CustomCostsFileLineItem(cost=20, resource_id="dup"),
    ]
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi({file_id: resp})
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.81μs -> 2.26μs (24.3% faster)

def test_get_custom_costs_file_raises_custom_exception():
    """Test that if the endpoint raises a custom exception, it propagates."""
    file_id = "badfile"
    class CustomException(Exception): pass
    api = DummyCloudCostManagementApi({file_id: CustomException("bad file")})
    with pytest.raises(CustomException):
        api.get_custom_costs_file(file_id) # 3.82μs -> 3.09μs (23.9% faster)

# --- Large Scale Test Cases ---

def test_get_custom_costs_file_large_number_of_items():
    """Test file with a large number of line items (scalability)."""
    file_id = "largefile"
    num_items = 1000
    items = [CustomCostsFileLineItem(cost=i, resource_id=f"res{i}") for i in range(num_items)]
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi({file_id: resp})

    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 2.94μs -> 2.37μs (23.9% faster)

def test_get_custom_costs_file_many_files():
    """Test fetching from many different file_ids (scalability)."""
    response_map = {}
    for i in range(100):
        file_id = f"file_{i}"
        items = [CustomCostsFileLineItem(cost=i, resource_id=f"res{i}")]
        response_map[file_id] = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi(response_map)
    for i in range(100):
        file_id = f"file_{i}"
        codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 93.7μs -> 61.3μs (53.0% faster)

def test_get_custom_costs_file_performance():
    """Test that fetching a large file does not take excessive time."""
    import time
    file_id = "perf"
    num_items = 1000
    items = [CustomCostsFileLineItem(cost=i, resource_id=f"res{i}") for i in range(num_items)]
    resp = CustomCostsFileGetResponse(file_id=file_id, status="processed", items=items)
    api = DummyCloudCostManagementApi({file_id: resp})

    start = time.time()
    codeflash_output = api.get_custom_costs_file(file_id); result = codeflash_output # 3.07μs -> 2.43μs (26.1% faster)
    duration = time.time() - start
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from src.datadog_api_client.v2.api.cloud_cost_management_api import CloudCostManagementApi
import pytest

def test_CloudCostManagementApi_get_custom_costs_file():
    with pytest.raises(AttributeError, match="'SymbolicInt'\\ object\\ has\\ no\\ attribute\\ 'configuration'"):
        CloudCostManagementApi.get_custom_costs_file(CloudCostManagementApi(api_client=0), '')

🔎 Concolic Coverage Tests and Runtime

To edit these changes git checkout codeflash/optimize-CloudCostManagementApi.get_custom_costs_file-mgau67lm and push.